Statistical Optimization for Geometric Computation

Theory and Practice

von Kenichi Kanatani

Taschenbuch

Kurzbeschreibung des Verlags

This text discusses the mathematical foundations of statistical inference for building 3-dimensional models from image and sensor data that contain noise - a task involving autonomous robots guided by video cameras and sensors. The text employs a theoretical accuracy for the optimization procedure, which maximizes the reliability of estimations based on noise data. 1996 edition.